BDE Technical Webinar 1 : Pilot Instantiation

BIG DATA EUROPE
H2020 CSA (2015-17)
BDE PILOT INSTANTIATION
Ronald Siebes VU Amsterdam
Integrating Big Data, Software & Communities for Addressing
Europe’s Societal Challenges02.03.2016

BigDataEurope
8-Mar-16www.big-data-europe.eu
The 7 Societal
Challenges and their
first pilots

SC1: Life Sciences & Health

Partners:
A not-for-profit membership organization,
which supports and continues the development
of the information infrastructure created during
the Open PHACTS project of the
Innovative Medicines Initiative (IMI).
The VU Amsterdam was a key participant in the
Open PHACTS project responsible for developing
the Linked-Data infrastructure.
Big Data Focus area: Large-scale heterogeneous pharma-research data linking &
integration
Selected Key Data assets: ACD Labs / ChemSpider, ChEBI, ChEMBL, ConceptWiki,
DrugBank, ENZYME, Gene Ontology, GO Annotation, SwissProt, WikiPathways

Pilot 1: Duplicate Open PHACTS functionality on the
BDE infrastructure using Open Source solutions
Reasons:
•  Deployment possible in-house
•  Vary domains (e.g. Agriculture)
•  Using extra BDE functionalities (e.g. logging,
analysis)

BDE infrastructure
-  Large scale RDF reasoning over 3 billion+ triples
-  RESTful API
-  Various front ends

SC2: Food & Agriculture

Partners:
FAO, the largest autonomous agency within the
United Nations system and one of the main
players in the agricultural information
community.
Big Data Focus area: Large-scale distributed agricultural data integration
Selected Key Data assets: INFOODS, AQUASTAT Green Learning Network (GLN), Agricultural
Bibliography Network (ABN), AgroVoc, AquaMaps, Fishbase
Semantic Web Company (SWC) is a technology provider headquartered in
Vienna (Austria). SWC supports organizations from all industrial sectors
worldwide to improve their information management. Their core product is to
extract meaning from big data by making use of linked data technologies.
Agroknow is a company that captures, organizes and adds value to the
rich information available in agricultural and food sciences, in order to
make it universally accessible, useful and meaningful.

AGINFRA

Pilot focus area:
Viticulture
(from the Latin word for vine)
is the science, production,
and study of grapes.
It deals with the series of
events that occur in the vineyard.

Pilot 2: Support advanced crop
data discovery, processing,
combining and visualization from
distributed and heterogeneous
data repositories
¥ Vine and Wine sector: emerging market in EU
¥ Sustainability and biodiversity challenges:
local varieties are being lost
¥ Exploitation of new grapevine varieties and
clones in terms of climate change adaptation
¥ Quality and health status of viticultural
products
¥ Contribution to human health (antioxidants,
prevention of heart diseases etc.)
¥ Wide variety of heterogeneous (and big)
data from various information sources
Reasons:

BDE infrastructure tasks
-  Large scale data extraction and integration processing from external data sources (tables,
figures texts)
-  Analysis batch jobs for generating statistical data
-  Rich query support combining various parameters (e.g. location, geno/fenotypes,
publications, soil data)
-  Various front ends similar to PubMed

SC3: Energy
SC3: Energy

SC3: Energy
Partners:
A public entity supervised by the Ministry of Environment,
Energy and Climate Change in Greece, founded in
September 1987, active in the fields of Renewable
Energy Sources (RES), Rational Use of Energy (RUE) and
Energy Saving (ES).
Big Data Focus area: Real-time turbine monitoring stream processing and analytics
Selected Key Data assets: European Energy Exchange Data, smart meter sensor data, gas/
fuels market/price data, consumption statistics, stratigraphic model data (geology,
geophysics)
NCSR "Demokritos", the largest multidisciplinary research
centre of Greece hosts significant scientific research,
technological development and educational activities,
coordinated by eight Institutes.

SC3: Energy
Pilot focus area:
System monitoring
in energy production
units.

SC3: Energy
Pilot 3: Operation, maintenance
and production forecasting for
wind turbines on real-time sensor
data.
¥ Current technology is not able to deal with
full amount of available valuable data
¥ Economic benefit of predicting output and
prevention of damage (if one can predict one
part about to fail it can be prevented that other
parts get damaged)
¥ Large continuous stream of sensor data,
perfect to test our platform
Reasons:

SC3: Energy
Data:
-  Raw sensor and SCADA data from a given
wind farm
-  Third-party raw or synthetic data
-  Analysis results from built-in analysis modules
Processing:
•  Near-real time execution of parameterized
models to return operational statistics, including
correlation analysis of data across units
•  Weekly execution of operational statistics
•  Weekly execution of model parametrization

SC4: Transport
SC4: Transport

SC4: Transport
Partners: The Fraunhofer Society is a German research organization with 67
institutes spread throughout Germany, each focusing on different
fields of applied science.
Big Data Focus area: Streaming sensor network & geo-spatial data integration
Selected Key Data assets: GTFS data, OSM/LinkedGeoData, MobilityMaps, Transport
sensor data, ROSATTE Road safety attributes, European Road Data Infrastructure -
EuroRoadS
The Centre for Research and Technology-Hellas (CERTH)
founded in 2000 is one of the leading research
centres in Greece. CERTH includes the Hellenic Institute of
Transport (HIT): Land, Sea and Air Transportation as well
as Sustainable Mobility services
ERTICO - ITS Europe is a partnership of around 100 companies
and institutions involved in the production of Intelligent Transport
Systems (ITS).

SC4: Transport
Pilot focus area:
Info mobility and
traffic planning

SC4: Transport
Pilot 4: Multisource data collection
for the provision of accurate info-
mobility and advanced transport
planning service in Thessaloniki,
Greece
¥ Congestion is a major problem in Europe,
especially in urban areas.
¥ utilizing real-time probe data for the
provision of accurate info-mobility services and
advanced transport planning, leads to better
decisions
¥ The use of mobility data coming from multiple
sources presents significant challenges,
especially due to the different nature of the
datasets both in content and spatio-temporal
terms as well as due to the fact that the data
should be collected and processed in real time.
Reasons:

SC4: Transport
Data:
•  Traffic counts and speed (330 locations, a
data set every 1.5 – 5 minutes, 300k
records, 15 MB)
•  Travel times from Bluetooth detectors (43
locations, a data set every 15 minutes,
250k-300k records, 50 MB)
•  Floating Car Data position and speed (1200
vehicles, a data set every 2 minutes, 2M
records, 200MB)
•  Check-in events from social networks

SC5: Climate
SC5: Climate

SC5: Climate
Partners:
A public entity supervised by the Ministry of Environment,
Energy and Climate Change in Greece, founded in
September 1987, active in the fields of Renewable
Energy Sources (RES), Rational Use of Energy (RUE) and
Energy Saving (ES).
Big Data Focus area: Enormous simulation time. Extremely complicated computing model.
Selected Key Data assets: European Grid Infrastructure (EGI). Access to several data centres
hosted at CNRS-Lyon, NCSR-D Athens, INFN-Milan, NIKhEF-Amsterdam.

SC5: Climate
Pilot focus area:
Supporting data-intensive
climate research

SC5: Climate
Pilot 5: Downscaling, and retrieval
process on (raw) climate data via
User-defined parameters (e.g.
geographical areas, time period,
physical variables, computational
grids, time steps)
¥ The provision of Climate model data satisfies
an important objective, that of assessing the
potential impacts of climate change on well
being for adaptation, prevention and mitigation
measures and supporting other policy making
decisions.
¥ The awareness led to the availability of huge
datasets
¥ Downscaling is a computational intensive
process
Reasons:

SC5: Climate
Data:
•  Earth System Grid Federation (ESGF) data:
•  CMIP5 data (global climate model simulations)
•  CORDEX data (regional climate model simulations)
•  NetCDF data
•  European Centre for Medium range Weather Forecasting
(ECMWF) data

SC5: Climate

SC6: Social Sciences

Partners:
CESSDA provides large scale, integrated and sustainable
data services to the social sciences. CESSDA is organised
as a limited company under Norwegian law owned and
financed by the individual EU member states’ ministry of
research or a delegated institution.
Big Data Focus area: Statistical and research data linking & integration
Selected Key Data assets: Federated social sciences data catalogs, statistical data from public
data portals and statistical offices (e.g. EuroStats, UNESCO, WorldBank)

Pilot focus area:
Citizens budget spending on
municipal level

Pilot 6: Citizens budget
in municipal level
¥ Budget: the most important document of
public policy
¥ Budget execution affects everyday lives
¥ Citizens are more involved in city level
¥ Having a platform that integrates
heterogeneous budget data (many municipality
have their own data formats) and calculates
infographics would benefit the citizens, the
research community and policy makers
Reasons:

Data:
•  Datastream from Greek municipalities, with codes that are
unique identifiers based on national accounting system for
municipalities
•  Data from 3 cities in Greece (Highest detail)
•  Updated several times within the day (Streams with no
memory) ->Convert in daily observations
•  Available through API or CSV/XLS

SC7: Security
SC7: Security

SC7: Security
Partners:
The Centre supports the decision making of the European
Union in the field of the Common Foreign and Security
Policy (CFSP), by providing products and services
resulting from the exploitation of relevant space assets
and collateral data, including satellite imagery and
aerial imagery, and related services.

SC7: Security
Big Data Focus area: Image data analysis
Selected Key Data assets: Earth Observation data (e.g. Very High Resolution Satellite
Imagery acquired from commercial providers and governmental systems) and collateral data
for supporting CFSP/CSDP missions and operations

SC7: Security
Pilot focus area:
Getting insight in man-made surface
changes triggered by automatic detection, news, or
social media information

SC7: Security
Pilot 7: Ingestion of remote
sensing images and social
sensing data to detect and verify
man-made changes on the Earth
surface for security applications
¥ Evacuation route planning
¥ Monitoring of critical infrastructures
¥ Border security
¥ Satellite image data is HUGE and
computational intensive to compare
¥ Smart ‘focus’ algorithms are needed to
prioritize the analysis jobs
Reasons:

SC7: Security
Data:
•  All data products are distributed in the SENTINEL Standard
Archive Format for Europe (SAFE) format
•  The SENTINEL-SAFE format wraps a folder containing image
data in a binary data format and product metadata in XML
•  Social Media, which are demonstrated via consuming Twitter
streams
•  News agencies, which are demonstrated via consuming
Reuters RSS feeds

SC7: Security

BDE Technical Webinar 1 : Pilot Instantiation

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BDE Technical Webinar 1 : Pilot Instantiation